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Kijung Shin

Kijung Shin

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Professor

About

데이터마이닝 연구실(Data Mining Lab)을 이끌며 대규모 그래프·하이퍼그래프·텐서 등 복잡한 구조 데이터를 분석하는 확장 가능한 데이터마이닝 기법을 연구한다. 그래프 마이닝, 이상탐지, 대규모 기계학습 알고리즘 설계를 주요 주제로 다룬다.

Research keywords

Applied StatisticsGraph Mining

Recent papers

From OpenAlex · papers whose author affiliation matches this university

Selected publications

  • ItemRAG: Item-Based Retrieval-Augmented Generation for LLM-Based RecommendationSIGIR · 2026
  • From Raw Features to Effective Embeddings: A Three-Stage Approach for Multimodal Recipe RecommendationSIGIR · 2026
  • Effective Dataset Distillation for Spatio-Temporal Forecasting with Bi-dimensional CompressionICDE · 2026
  • Personalized Parameter-Efficient Fine-Tuning of Foundation Models for Multimodal RecommendationWWW · 2026
  • Rethinking Contrastive Learning for Graph Collaborative FilteringICML · 2026

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